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NET barcode reader and generator SDK for developers. It supports ... Supported barcode types: Australian Post, Aztec, Code11, Code39 , Code128, Codabar,. as shown on the control chart. These are the 3sigma control limits referred to above. Note that the use of 3sigma limits implies that 0.0027; that is, the probability that the point plots outside the control limits when the process is in control is 0.0027. The width of the control limits is inversely related to the sample size n for a given multiple of sigma. Choosing the control limits is equivalent to setting up the critical region for testing the hypothesis H0: H1: 74 74 where 0.01 is known. Essentially, the control chart tests this hypothesis repeatedly at different points in time. In designing a control chart, we must specify both the sample size to use and the frequency of sampling. In general, larger samples will make it easier to detect small shifts in the process. When choosing the sample size, we must keep in mind the size of the shift that we are trying to detect. If we are interested in detecting a relatively large process shift, we use smaller sample sizes than those that would be employed if the shift of interest were relatively small. We must also determine the frequency of sampling. The most desirable situation from the point of view of detecting shifts would be to take large samples very frequently; however, this is usually not economically feasible. The general problem is one of allocating sampling effort. That is, either we take small samples at short intervals or larger samples at longer intervals. Current industry practice tends to favor smaller, more frequent samples, particularly in highvolume manufacturing processes or where a great many types of assignable causes can occur. Furthermore, as automatic sensing and measurement technology develops, it is becoming possible to greatly increase frequencies. Ultimately, every unit can be tested as it is manufactured. This capability will not eliminate the need for control charts because the test system will not prevent defects. The increased data will increase the effectiveness of process control and improve quality. (2.99) (2.lO0) (2.lO1) 164.3 .net code 39 reader NET Code 39 Reader  Barcode SDK
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